Several groups have introduced terms such as KDD (knowledge discovery
in databases), Data Mining, Machine Learning and Neural Networks for the
challenges of finding structure in large databases. Statisticians have
been nowhere near as good at inventing catchy titles nor of promoting their
wares, but have an outstanding track record of developing useful tools
first! We are only now beginning work on microarrays, so the examples will
mainly be drawn from biological imaging, particularly functional and structural
MRI of human brains.

The aim of the talk will be to give an overview of the statistical toolbox
and some of its limitations, including